Enterprise & industry

The problem

Enterprises operating at scale — large farms, mining operations, pipeline networks, power grids, forestry — increasingly rely on distributed sensors, drones, and automated systems to monitor and manage their assets. The data volumes grow faster than the ability to process them. Off-the-shelf SaaS tools don't scale, can't be customized, and often require sending sensitive operational data to third-party clouds.

What we bring

• Endpoint management at scale — Backend infrastructure to control and collect data from many endpoints — aerial, ground, or fixed — with real-time processing and coordination.
• On-prem or hybrid HPC — Slurm clusters and GPU compute that you own and control. No data leaves your infrastructure unless you want it to.
• AI/ML analytics — Kubeflow pipelines, custom models for detection and classification, and RAG systems for document intelligence over your operational data.
• Custom integration — We build to your requirements. APIs, data formats, and workflows that fit your existing operations, not the other way around.
• Consulting and implementation — Full-service cluster builds, AI deployments, and infrastructure setup. We build it, validate it, and hand it off.

Applications

• Agriculture — crop monitoring, precision spraying coordination, yield analysis from aerial survey data
• Resource surveying — mineral, oil, gas, and timber survey data processing with ML-assisted classification
• Infrastructure inspection — pipeline, powerline, bridge, and facility inspection using coordinated endpoints with automated defect detection
• Environmental monitoring — long-term sensor data aggregation, wildlife tracking, water quality, and emissions monitoring
• Logistics and operations — fleet data processing, route optimization, and operational analytics at HPC scale